Regularised Layerwise Weight Norm Based Skin Lesion Features Extraction and Classification-Reference-Cited by-同舟云学术

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Regularised Layerwise Weight Norm Based Skin Lesion Features Extraction and Classification

Published:2023 Issue:3 Volume:44 Page:2727-2742
ISSN:0267-6192
Container-title:Computer Systems Science and Engineering
language:en
Short-container-title:

Author:

Gopikha S.,Balamurugan M.

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

General Computer Science,Theoretical Computer Science,Control and Systems Engineering

Link

https://www.techscience.com/csse/v44n3/49169/pdf

Reference27 articles.

1. Computer aided diagnostic support system for skin cancer: A review of techniques and algorithms;Masood;International Journal of Biomedical Imaging,2013

2. Comparison of skin disease prediction by feature selection using ensemble data mining techniques;Verma;Informatics in Medicine Unlocked,2019

3. A multilevel features selection framework for skin lesion classification;Akram;Human-Centric Computing and Information Sciences,2020

4. Automatic lesion boundary detection in dermoscopy images using gradient vector flow snakes;Erkol;Skin Research and Technology,2005

5. A DE-ANN inspired skin cancer detection approach using fuzzy c-means clustering;Kumar;Mobile Networks and Applications,2020

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Integrated Multimodal Deep Learning Framework for Accurate Skin Disease Classification;International Journal of Online and Biomedical Engineering (iJOE);2024-02-14

2. Diagnosis of Liver Tumor from CT Scan Images using Deep Segmentation Network with CMBOA based CNN;2023 IEEE 3rd Mysore Sub Section International Conference (MysuruCon);2023-12-01

3. Boosting the performance of pretrained CNN architecture on dermoscopic pigmented skin lesion classification;Skin Research and Technology;2023-10-24

4. Improved Squirrel Optimization based Generative Adversarial Network for Skin Cancer Classification;2023 IEEE 2nd National Biomedical Engineering Conference (NBEC);2023-09-05

5. Automatic Localization of Five Relevant Dermoscopic Structures Based on YOLOv8 for Diagnosis Improvement;Journal of Imaging;2023-07-21

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